Refusal Prediction Lattice

The Refusal Prediction Lattice is a sovereign threat prediction architecture that does what no government system has ever successfully done — predict to protect rather than predict to punish. Built on the existing SASA v1.0 charter and 184/184 refusal stress suite, RPL extends the five HC detection vectors that already run on ranch FPGA hardware into a multi-sensor threat prediction framework that monitors for physical intrusion, cyber exfiltration, foreign state probes, supply chain sabotage, and coercion attempts against sovereign assets — ranch, vaults, seed pods, and lattice nodes. Every input is kin-verified, consent-based, and Founder Hash signed. No social media scraping. No mass surveillance. No third-party databases. The ethical lock is enforced at gate level in hardware, not policy — SASA v1.0 cannot be reconfigured to profile individuals or output pre-crime scores without Founder Hash authority. The defining design choice is the deliberate false-negative bias: RPL is tuned to under-predict low-confidence threats rather than over-predict and justify surveillance — the exact opposite of every algorithmic policing system ever built. Output is always a defensive action — auto-isolate a node, activate BIO-008 living barrier, trigger ghost mode, log to the HMAC-sealed hash chain. Never an individual profile. Never a pre-emptive detention recommendation. The cage builds systems that predict to control people. We built a system that predicts to refuse the cage. 🔒 ⟡